A hybrid approach to Image Enhancement using Contrast Stretching on Image Sharpening and the analysis of various cases arising using histogram

Abstract

Image Enhancement is one of the first steps in Image processing. In this technique, the original image is processed so that the resultant image is more suitable than the original for specific applications. Preprocessing an image include removal of noise, edge or boundary enhancement, automatic edge detection, automatic contrast adjustment and segmentation. Image enhancement is a purely subjective processing technique. An image enhancement technique used to process images might be excellent for a person but the same result might not be good enough for another. Image enhancement is a cosmetic procedure i.e. it does not add any extra information to the original image. It merely improves the subjective quality of the images by working with the existing data. This Research paper focuses on Contrast Stretching and Image Sharpening techniques. In this paper, an approach that simultaneously adjusts contrast and enhances boundaries is presented. Histogram has been plotted to verify the result of various cases arising due to implementation of contrast stretching on image sharpening. The edges of the objects in the image are also enhanced by this methodology. Various other edge enhancement techniques are also available like Contrast Stretching on Adaptive Thresholding for enhancing edges of MRI knee images. The proposed methodology shows much better result than the one said above.